The researchers focused on “subpopulation shifts” — differences in the way machine learning models perform for one subgroup as compared to another. “We want the models to be fair and work equally well for all...
Intro Throughout the last few years in machine learning, I’ve always wanted to build real machine learning products.A few months ago, after taking the great Fast.AI deep learning course, it seemed like the stars aligned, and I...
As we enter a new era where technologies powered by artificial intelligence can craft and manipulate images with a precision that blurs the line between reality and fabrication, the specter of misuse looms large. Recently,...
Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data. This technique could help an autonomous vehicle learn to compensate for slippery road conditions to...
The Singapore MIT-Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, has launched a new interdisciplinary research group aimed at tackling key social and institutional challenges around the rise of artificial intelligence and...
Imagine you want to carry a large, heavy box up a flight of stairs. You might spread your fingers out and lift that box with both hands, then hold it on top of your forearms...
As the impacts of climate change continue to grow, so does interest in fusion’s potential as a clean energy source. While fusion reactions have been studied in laboratories since the 1930s, there are still many...
“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference requests. Computing is at an inflection point. Moore’s Law, which...
Researchers use synthetic data to improve a model’s ability to grasp conceptual information, which could enhance automatic captioning and question-answering systems. Powerful machine-learning algorithms known as vision and language models, which learn to match text...
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values. The classic computer science adage “garbage in, garbage out” lacks nuance...